"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


a				=logging.get_logger(__name__)

a				={
    'microsoft/resnet-50': 'https://huggingface.co/microsoft/resnet-50/blob/main/config.json',
}






class   __UpperCAmelCase		(      __lowerCAmelCase , __lowerCAmelCase      ):
				A__ :  Any    				=			'''resnet'''
				A__ :  List[Any]    				=			['''basic''', '''bottleneck''']

				def __init__( self      ,					_lowerCamelCase=3      ,					_lowerCamelCase=64      ,					_lowerCamelCase=[256, 512, 1024, 2048]      ,					_lowerCamelCase=[3, 4, 6, 3]      ,					_lowerCamelCase="bottleneck"      ,					_lowerCamelCase="relu"      ,					_lowerCamelCase=False      ,					_lowerCamelCase=None      ,					_lowerCamelCase=None      ,					**_lowerCamelCase      ,					):
										super().__init__(**_lowerCamelCase )
										if layer_type not in self.layer_types:
																raise ValueError(F'''layer_type={layer_type} is not one of {','.join(self.layer_types )}''' )
										lowerCamelCase__   =num_channels
										lowerCamelCase__   =embedding_size
										lowerCamelCase__   =hidden_sizes
										lowerCamelCase__   =depths
										lowerCamelCase__   =layer_type
										lowerCamelCase__   =hidden_act
										lowerCamelCase__   =downsample_in_first_stage
										lowerCamelCase__   =["stem"] + [F'''stage{idx}''' for idx in range(1      ,					len(_lowerCamelCase ) + 1 )]
										lowerCamelCase__   , lowerCamelCase__   =get_aligned_output_features_output_indices(
										    out_features=_lowerCamelCase      ,					out_indices=_lowerCamelCase      ,					stage_names=self.stage_names )






class   __UpperCAmelCase		(      __lowerCAmelCase      ):
				A__ :  Union[str, Any]    				=			version.parse('''1.11'''      )

				@property
				def 						_a      ( self ):
										return OrderedDict(
										    [
										        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
										    ] )






				@property
				def 						_a      ( self ):
										return 1E-3



"""simple docstring"""


from __future__ import annotations

a				='#'






class   __UpperCAmelCase		:

				def __init__( self ):
										lowerCamelCase__   ={}

				def 						_a      ( self      ,					_lowerCamelCase ):
										lowerCamelCase__   =self._trie
										for char in text:
																if char not in trie:
																						lowerCamelCase__   ={}
																lowerCamelCase__   =trie[char]
										lowerCamelCase__   =True

				def 						_a      ( self      ,					_lowerCamelCase ):
										lowerCamelCase__   =self._trie
										for char in prefix:
																if char in trie:
																						lowerCamelCase__   =trie[char]
																else:
																						return []
										return self._elements(_lowerCamelCase )






				def 						_a      ( self      ,					_lowerCamelCase ):
										lowerCamelCase__   =[]
										for c, v in d.items():
																lowerCamelCase__   =[" "] if c == END else [(c + s) for s in self._elements(_lowerCamelCase )]
																result.extend(_lowerCamelCase )
										return tuple(_lowerCamelCase )





a				=Trie()
a				=('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
	trie.insert_word(word)





def      lowerCamelCase_					(   __lowerCAmelCase							)				->   tuple:




						'''simple docstring'''



						lowerCamelCase__   =trie.find_word(__lowerCAmelCase							)
						return tuple(string + word for word in suffixes							)





def      lowerCamelCase_					(   )				->   None:




						'''simple docstring'''



						print(autocomplete_using_trie("de"							)							)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()


